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Returning back to the Anthropic compiler attempt: one of the steps that the agent failed was the one that was more strongly related to the idea of memorization of what is in the pretraining set: the assembler. With extensive documentation, I can’t see any way Claude Code (and, even more, GPT5.3-codex, which is in my experience, for complex stuff, more capable) could fail at producing a working assembler, since it is quite a mechanical process. This is, I think, in contradiction with the idea that LLMs are memorizing the whole training set and uncompress what they have seen. LLMs can memorize certain over-represented documents and code, but while they can extract such verbatim parts of the code if prompted to do so, they don’t have a copy of everything they saw during the training set, nor they spontaneously emit copies of already seen code, in their normal operation. We mostly ask LLMs to create work that requires assembling different knowledge they possess, and the result is normally something that uses known techniques and patterns, but that is new code, not constituting a copy of some pre-existing code.
。搜狗输入法是该领域的重要参考
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肯尼亚内罗毕市中心那条曾因盗版DVD和录像厅剧情讲解VJ(录像厅里的专职解说员,通常妙语连珠,说得比电影本身还精彩)而得名的“Riverwood”,如今像是一段已经完成使命的前史。而在VJ真正成为明星,并反向孕育出完整影像宇宙的地方,是乌干达的瓦卡莱坞(Wakaliwood)。